Monitoring Hurricane Rita Inland Storm Surge By Benton D. McGee, Roland W. Tollett, and Burl B. Goree Pressure transducers (sensors) are accurate, reliable, and cost-effective tools to measure and record the magnitude, extent, and timing of hurricane storm surge. Sensors record storm-surge peaks more accurately and reliably than do high-water marks. Data collected by sensors may be used in storm-surge models to estimate when, where, and to what degree stormsurge flooding will occur during future storm-surge events and to calibrate and verify stormsurge models, resulting in a better understanding of the dynamics of storm surge. Introduction Storm surge associated with hurricanes occurs when winds push water up onto the shoreline. Storm surge can be intensified by sustained winds, low barometric pressure, excessive rainfall, and high tides (http://geology. com/articles/storm-surge. shtml, accessed September, ). Historically, the magnitude of hurricane storm surge has been measured by using water lines, called highwater marks, left behind by flood waters. Identifying and qualifying high-water marks and determining how well these marks represent the peak are often subjective. The quality of the high-water mark depends upon the type of mark, such as debris, seed, mud, or stain, and on whether the mark was created in a protected environment, such as the interior wall of a building, or in an unprotected environment, such as an exposed bridge piling or fence post. High-water marks do not record the date and time of their creation nor do they record the duration of the storm-surge event. Methods In the days prior to the landfall of Hurricane Rita (fig. ), an experimental waterlevel and barometric pressure sensor network (fig. ) was deployed to record the magnitude, extent, and timing of inland storm surge and coastal flooding in the monitored area along the Louisiana and Texas Gulf Coast. East of Rita s storm path, sensors recorded storm-surge water levels over ft (.
Science and the Storms: the USGS Response to the Hurricanes of Arkansas Louisiana Mississippi Alabama Sept., a.m. Texas Monitored area Sept., p.m. Gulf of Mexico Florida N Sept., a.m. Sept., a.m. Figure. Map showing path of Hurricane Rita and study area (Hurricane Rita satellite imagery obtained from the National Aeronautics and Space Administration, ).
Monitoring Hurricane Rita Inland Storm Surge º º º º º LOUISIANA LCb TEXAS (.) LA LC Beaumont LC LCa (.) LA Charles Orange (.) (.) LCb LA B Bb LA LCa LC (.) (.) B B Ba (.) (.) Port Arthur LC LCb (.) B LC LC Cameron (.) Bb (.) LC LC (.) (.) (.) (.) (.) Sabine Pass LCa LA (.) (.) LC LA LA Sabine N Miles Kilometers Calcasieu Gulf of Mexico Grand (.) White Lafayette Abbeville LF (.) LF (.) LAb LA (.) (.) Intracoastal City Vermilion Land-surface elevation, in feet above the North America Vertical Datum of (NAVD ) Greater than Data-collection site and identifier, by sensor type LCb LC LC LC Water level Maximum surge elevation, in feet above NAVD, shown in parentheses and water level Maximum surge elevation, in feet above NAVD, shown in parentheses Sensor lost to hurricane Figure. Map showing locations of storm-surge sensors in southwestern Louisiana and southeastern Texas. Maximum storm-surge elevation measurements are shown in yellow.
Science and the Storms: the USGS Response to the Hurricanes of m) above the North American Vertical Datum of (NAVD ) along the Louisiana Gulf Coast and rates of water-level rise in excess of ft (. m) per hour. Comparisons between high-water marks and water-level data from nearby inundated sensors indicated that the sensors recorded storm-surge peaks more accurately and reliably than did high-water marks. Data collected by the storm-surge sensors may be used in computer models () to estimate when, where, and to what degree storm-surge flooding will occur in future events and () to calibrate and verify storm-surge models, resulting in a better understanding of the dynamics of storm surge. The study area was situated east of Rita s storm path (fig. ), in the right front quadrant of the storm, where the maximum storm surge was expected to occur. The monitored area covered approximately, mi (, km ) and was generally bounded to the north by Interstate (I-), to the south by the Louisiana and Texas coastlines, to the east by the Vermilion River, and to the west by the cities of Beaumont, Orange, and Port Arthur, Tex. A total of sensors ( water-level sensors and barometric pressure sensors) were deployed at sites during September,, prior to the landfall of Rita (fig. ). Sensors were deployed along and inland of the Louisiana and Texas coasts, usually along waterways, from Sabine Pass, Tex., through Abbeville, La. The sensors were unvented pressure transducers capable of measuring and recording three parameters: absolute pressure, temperature, and internal battery voltage. Absolute pressure is the force exerted by air (barometric pressure) or water on the sensor. The force, or weight of water is converted to the height of water (water level) overlying the sensor. Inundated sensors were used to record stormsurge water levels, and noninundated sensors were used to record barometric pressure. Water-level data from inundated sensors were corrected for changes in barometric pressure by using data from a colocated barometric pressure sensor. If a barometric pressure sensor was not colocated with a stormsurge sensor, the data from the nearest barometric pressure sensor were used to correct the storm-surge data. The sensors recorded temperature and pressure every seconds during the storm and for several days afterwards. The dimensions of the sensors were approximately inches (. cm) in length and inch (. cm) in diameter (fig. ) and were encased in. inch (. cm) by inch (. cm) metal pipes and strapped to permanent objects, such as piers and power poles (fig. ). Storm-surge sensors were deployed on permanent structures at elevations that would likely be inundated by storm surge, and barometric pressure sensors were deployed on permanent structures at elevations that would not likely be inundated by storm surge. Water-level data from inundated sensors also were corrected for salinity because salinity content increases the density, and therefore the weight, of the water. Corrections for salinity were based upon the location of the sensor in proximity to the coast. In general, sensors located in the southern part of the study area were categorized as measuring Figure. Photograph showing sensor used to record water level and barometric pressure. Figure. Photograph showing metal pipe containing a waterlevel sensor or barometric pressure sensor strapped to a power pole.
Monitoring Hurricane Rita Inland Storm Surge salt water, sensors located in the northern part of the study area were categorized as measuring freshwater, and sensors located in the middle were categorized as measuring brackish water. Elevation surveys were conducted to relate all stormsurge data, including water-level data from inundated sensors, high-water marks, and water-surface measurements, to sea level (sea level defined by the NAVD ) (http://www.ngs. noaa.gov/pubs_lib/navd/navdreport.htm, accessed September, ). Elevation surveys were conducted by using the Global Positioning System and differential levels. Quality assurance measures included () placing multiple sensors at a site, () placing a sensor near an existing U.S. Geological Survey (USGS) stream gage, and () manually measuring water-surface levels from reference marks. Multiple storm-surge sensors were deployed at two sites (three sensors at site LF and two sensors at site LA) to assess the variability between individual sensors. Sensors were deployed at two existing USGS stream gages (one each near sites LA and LA) to assess the variability of water levels measured at sensors and USGS stream gages. Water-level data collected by multiple sensors agreed closely with each other (fig. ), and sensors agreed closely with water-level data from USGS stream gages (fig. ), as evidenced by the overlying plots of the sensor and USGS stream gage data during periods of sensor inundation. Water-surface levels, commonly referred to as tape downs, were determined by measuring the distance from a reference mark, such as a bridge railing or pier surface, to the water surface at a specific date and time. Tape downs were made at seven sites, namely LA (fig. ), LA, LA, LCa, LF (fig. ), LC, and LCb, and all agreed closely with sensor data. Water-level elevation, in feet above NAVD Sensor Sensor Sensor Tape-down elevation Water-level elevation water-level sensors placed at different elevations track together during surge inundation.........., in pounds per square inch Water-level elevation, in feet above NAVD USGS coastal streamgage Sensor Tape-down elevation Water-level elevation Water-level sensor placed near USGS coastal streamgage track together during surge inundation.........., in pounds per square inch - Sept., Sept., Sept., Sept., Sept., Sept., Sept.,. - Sept., Sept., Sept., Sept., Sept., Sept., Sept.,. Figure. Hurricane Rita storm-surge data at site LFa. The graph shows water-level elevations above North American Vertical Datum of (NAVD ) from multiple storm-surge sensors and tape-down measurement. Figure. Hurricane Rita storm-surge data at site LA. The graph shows water-level elevations above North American Vertical Datum of (NAVD ) from storm-surge sensor and U.S. Geological Survey stream gage and tape-down measurement.
Science and the Storms: the USGS Response to the Hurricanes of Results High-water marks were identified and surveyed at seven sites, namely LAb (fig. ), LA, LCb, LC, LC, LCa (fig. ), and LF, and were compared with nearby sensor data. Comparisons between high-water marks and storm-surge peaks from inundated sensors varied. In general, high-water marks of high quality agreed closely with the storm-surge peaks from the sensors, while high-water marks of lesser quality were consistently lower than the storm-surge peaks from the sensors. For example, the high-water mark near site LAb (fig. ) rated as excellent was approximately. ft (. cm) lower than the storm-surge peak from the nearby storm-surge sensor, the high-water mark near site LCa (fig. ) rated as good was approximately ft (. cm) lower than the storm-surge peak from the nearby storm-surge sensor, and the high-water mark near site LF rated as poor was approximately. ft (. cm) lower than the storm-surge peak from the nearby storm-surge sensor. Conclusion Sensors recorded storm-surge water levels over ft above NAVD at Constance Beach (LC), Creole (LA), and Grand Chenier (LA), La., about mi ( km), mi ( km), and mi ( km), respectively, east of Sabine Pass, Tex., at approximately a.m., September, (fig. ). In general, storm-surge water levels increased eastward from the Sabine River into southwest Louisiana. The magnitude of the storm surge was greatest near the coast and decreased inland through the approximate latitude of I-, about mi ( km) inland from the coast (fig. ). Sensors reported rates of water-level rise during the storm-surge event in excess of ft (. m) per hour at sites LCb, LC, and LC. By using data from the sensors and digital land-surface elevation data, a computer-generated map of storm-surge depth (fig. ) in the monitored area was created and indicated over ft (. m) of water depth at a.m. on September,, along parts of the Gulf Coast of southwestern Louisiana (Dean Gesch, U.S. Geological Survey, written commun., )... Water-level elevation, in feet above NAVD - Sept., Sept., High-water-mark elevation Water-level elevation Sept., Sept., Sept., High-water mark Sept., Sept.,.........., in pounds per square inch Water-level elevation, in feet above NAVD - Sept., High-water-mark elevation Water-level elevation Sept., Sept., Sept., Sept., High-water mark Sept., Sept.,.........., in pounds per square inch Figure. Hurricane Rita storm-surge data at site LAb. The graph shows water-level elevations above North American Vertical Datum of (NAVD ) from storm-surge sensor and high-water mark of excellent quality. Figure. Hurricane Rita storm-surge data at site LCa. The graph shows water-level elevations above North American Vertical Datum of (NAVD ) from storm-surge sensor and high-water mark of good quality.
Monitoring Hurricane Rita Inland Storm Surge º º º B Port Arthur º º Beaumont B TEXAS B Bb Bb Sabine Pass Storm-surge depth, in feet Greater than Orange B Ba Sabine LC N LC LC LOUISIANA LC LC LC LC Miles Kilometers Land-surface elevation, in feet above the the North America Vertical Datum of (NAVD ) Greater than LCb LC LC LCb LCa LCa Calcasieu Cameron LCa LCb LC Charles LA LCb LA LA Data-collection site and identifier, by sensor type Gulf of Mexico Water level and water level LA Grand LA LA LA White Lafayette Abbeville LF LF LA LAb Orange Intracoastal City Vermilion Figure. Map showing locations of storm-surge sensors and computer-generated storm-surge depth, in feet, on September,, at a.m. in southwestern Louisiana and southeastern Texas. Contact Information Benton D. McGee, Supervisory Hydrologist (bdmcgee@usgs.gov); Roland W. Tollett, Hydrologist (rtollett@usgs.gov); and Burl B. Goree, Hydrologic Technician (bbgoree@usgs.gov) U.S. Department of the Interior U.S. Geological Survey Louisiana Water Science Center S. Sherwood Forest Blvd., Suite Baton Rouge, LA